from rich.console import Console
from rich.table import Table
from database import fetch_all
from kubernetes import client, config

# Helper functions for conversions
def convert_cpu_to_cores(cpu):
    """
    Convert CPU usage to cores for human-readable format.
    """
    if "n" in cpu:  # Nanocores to cores
        return round(int(cpu.replace("n", "")) / 1e9, 4)
    elif "u" in cpu:  # Microcores to cores
        return round(int(cpu.replace("u", "")) / 1e6, 4)
    elif "m" in cpu:  # Millicores to cores
        return round(int(cpu.replace("m", "")) / 1000, 4)
    return float(cpu)  # Already in cores

def convert_memory_to_mib(memory):
    """
    Convert memory to MiB (mebibytes).
    """
    if "Ki" in memory:
        return int(memory.replace("Ki", "")) / 1024
    elif "Mi" in memory:
        return int(memory.replace("Mi", ""))
    elif "Gi" in memory:
        return int(memory.replace("Gi", "")) * 1024
    return float(memory)

def display_metal_nodes():
    console = Console()
    table = Table(title="Metal Nodes")
    table.add_column("ID", justify="right")
    table.add_column("Name")
    table.add_column("Location")
    table.add_column("Vendor")
    table.add_column("CPU", justify="right")
    table.add_column("Memory")
    table.add_column("Storage")

    nodes = fetch_all("metal_nodes")
    for node in nodes:
        table.add_row(
            str(node[0]), node[1], node[2], node[3],
            str(node[4]), node[5], node[6]
        )

    console.print(table)

def display_virtual_machines():
    console = Console()
    table = Table(title="Virtual Machines")
    table.add_column("ID", justify="right")
    table.add_column("Name")
    table.add_column("Location")
    table.add_column("CPU", justify="right")
    table.add_column("Memory")
    table.add_column("Storage")
    table.add_column("Type")

    vms = fetch_all("virtual_machines")
    for vm in vms:
        table.add_row(
            str(vm[0]), vm[1], vm[2],
            str(vm[3]), vm[4], vm[5], vm[6]
        )

    console.print(table)

def display_kubernetes_nodes():
    console = Console()
    config.load_incluster_config()
    v1 = client.CoreV1Api()

    table = Table(title="Kubernetes Nodes")
    table.add_column("Node Name")
    table.add_column("CPU", justify="right")
    table.add_column("Memory (MiB)", justify="right")
    table.add_column("Pods Allocatable", justify="right")

    nodes = v1.list_node()
    for node in nodes.items:
        table.add_row(
            node.metadata.name,
            node.status.capacity.get("cpu"),
            str(round(convert_memory_to_mib(node.status.capacity.get("memory")), 2)),
            node.status.allocatable.get("pods")
        )

    console.print(table)

def display_namespace_usage():
    console = Console()
    config.load_incluster_config()
    metrics_client = client.CustomObjectsApi()

    table = Table(title="Namespace Resource Usage")
    table.add_column("Namespace")
    table.add_column("CPU (Cores)", justify="right")
    table.add_column("Memory (MiB)", justify="right")

    namespace_usage = {}
    pod_metrics = metrics_client.list_cluster_custom_object(
        group="metrics.k8s.io", version="v1beta1", plural="pods"
    )

    for pod in pod_metrics["items"]:
        namespace = pod["metadata"]["namespace"]
        if namespace not in namespace_usage:
            namespace_usage[namespace] = {"cpu": 0, "memory": 0}

        for container in pod["containers"]:
            cpu_usage = container["usage"]["cpu"]
            memory_usage = container["usage"]["memory"]

            namespace_usage[namespace]["cpu"] += convert_cpu_to_cores(cpu_usage)
            namespace_usage[namespace]["memory"] += convert_memory_to_mib(memory_usage)

    for namespace, usage in namespace_usage.items():
        table.add_row(
            namespace,
            f"{round(usage['cpu'], 4)}",
            f"{round(usage['memory'], 2)}"
        )

    console.print(table)

if __name__ == "__main__":
    display_metal_nodes()
    display_virtual_machines()
    display_kubernetes_nodes()
    display_namespace_usage()